Triple
T35790726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tic Tac (UFO) |
E1034684
|
entity |
| Predicate | videoCommonlyKnownAs |
P184658
|
FINISHED |
| Object | Nimitz FLIR1 video |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Nimitz FLIR1 video | Statement: [Tic Tac (UFO), videoCommonlyKnownAs, Nimitz FLIR1 video]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: videoCommonlyKnownAs Context triple: [Tic Tac (UFO), videoCommonlyKnownAs, Nimitz FLIR1 video]
-
A.
videoIn
Indicates that one entity is a video that is contained within, embedded in, or associated as input to another entity.
-
B.
videoPlatform
Indicates a relationship where an entity serves as or is associated with a platform used for hosting, sharing, or streaming video content.
-
C.
videoType
Indicates the classification or category of a video (such as format, genre, or purpose) associated with an entity.
-
D.
isVideoOf
Indicates that one entity is a video recording or representation depicting, documenting, or illustrating the other entity.
-
E.
musicVideoKnownFor
Indicates that a particular music video is especially recognized for, or strongly associated with, a given work, artist, or notable feature.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76e1575908190aaa306d843b41c14 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b365288c8190bcb11fcfba028737 |
completed | May 3, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
| PDg | Predicate description generation | batch_69f7b2f2b9ac8190aa05b8a1aa18ec2d |
completed | May 3, 2026, 8:41 p.m. |
Created at: May 3, 2026, 4:06 p.m.